Artificially Generated Training Datasets for Supervised Machine Learning Techniques in Magnetic Resonance Imaging: An Example in Myocardial Segmentation.
Christos G. XanthisKostas HarisDimitrios FilosAnthony H. AletrasPublished in: CinC (2019)
Keyphrases
- magnetic resonance imaging
- artificially generated
- medical images
- training dataset
- mri images
- medical imaging
- mri data
- tagged mri
- magnetic resonance images
- magnetic resonance
- positron emission tomography
- partial volume effects
- long axis
- short axis
- breast mri
- left ventricular
- carotid artery
- lesion segmentation
- brain mri
- accurate segmentation
- partial volume
- diffusion tensor images
- quantitative evaluation
- real world
- anatomical structures
- training data
- segmentation algorithm
- image segmentation
- ct images
- image data
- beating heart
- left ventricle
- x ray
- segmentation method
- principal component analysis
- dce mri
- image registration
- deformable models
- image analysis
- training set
- region growing
- imaging modalities
- decision trees